Priors/intermediate prior class#21
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robbietuk wants to merge 32 commits intoRDP/HessianVectorProductfrom
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Priors/intermediate prior class#21robbietuk wants to merge 32 commits intoRDP/HessianVectorProductfrom
robbietuk wants to merge 32 commits intoRDP/HessianVectorProductfrom
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* RDP accumulate_Hessian_times_input * Added RDP Hessian documentation * Add div by 0 safety * Add epsilon to Hessian function
Updates the math for the RDP
* RDP Documententation * QP use (off_)diagonal_second_derivative methods and documentation * Restructure RDP and QP Hessian logic * Improve RDP and QP documentation * Implement log cosh accumulate_Hessian_times_input in terms of derivatives * Documentation
* Add method get_is_convex(), which accesses prior is_convex parameter and only test convexity of priors if convex function * compute_Hessian method added to generalised prior and errors by default but with different messages depending on is_convex * Test rename and create test_Hessian_convexity and test_Hessian_methods * Add test for compute_Hessian * RelativeDifferencePrior initialisation call set_defaults * Modernise `compute_Hessian` for QP and LogCosh. Add `compute_Hessian` for RDP * Correct RDP second derivative functions * Major changes to test_Hessian_against_numerical, which loops over each voxel for perturbation response * Add verbosity suppression to suppress gradient info calls
Reenable PLS, but disable all numerical tests - just run setup.
Make is_convex() a pure virtual method in GeneralisedPrior to be implemented in each prior. FilterRoot is not convex as it does not have 0th or 2nd order behaviour
Co-authored-by: Kris Thielemans <KrisThielemans@users.noreply.github.com>
Co-authored-by: Kris Thielemans <KrisThielemans@users.noreply.github.com>
Co-authored-by: Kris Thielemans <KrisThielemans@users.noreply.github.com>
…o RDP/HessianVectorProduct
This removes two checks on Succeeded::no in GeneralisedObjectiveFunction
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This PR aims to add an intermediate class to the current prior hierarchy that will perform the iterations over each of the priors in STIR.